Voeding, Pharma & Recht

Blog over Voedingsmiddelenwetgeving, cosmeticaregels, Europese wetgeving en geneesmiddelenrecht

Blog met kennisartikelen inzake het levensmiddelenrecht. Aandacht voor cosmeticawetgeving, Europese Regelgeving en juridisch advies farmaceutisch recht. Daarnaast juridische wetenswaardigheden en kantoorupdates van Slijpen Legal BV!

Berichten met de tag AI
The Right to Process Data for Machine Learning Purposes in the EU

Harvard Law School, Harvard Journal of Law & Technology (JOLT) Online Digest 2020, Forthcoming

New interdisciplinary Stanford University AI & Law research article: “The Right to Process Data for Machine Learning Purposes in the EU”.

Data Act & European data-driven economy

Europe is now at a crucial juncture in deciding how to deploy data driven technologies in ways that encourage democracy, prosperity and the well-being of European citizens. The upcoming European Data Act provides a major window of opportunity to change the story. In this respect, it is key that the European Commission takes firm action, removes overbearing policy and regulatory obstacles, strenuously harmonizes relevant legislation and provides concrete incentives and mechanisms for access, sharing and re-use of data. The article argues that to ensure an efficiently functioning European data-driven economy, a new and as yet unused term must be introduced to the field of AI & law: the right to process data for machine learning purposes.

The state can implement new modalities of property

Data has become a primary resource that should not be enclosed or commodified per se, but used for the common good. Commons based production and data for social good initiatives should be stimulated by the state. We need not to think in terms of exclusive, private property on data, but in terms of rights and freedoms to use, (modalities of) access, process and share data. If necessary and desirable for the progress of society, the state can implement new forms of property. Against this background the article explores normative justifications for open innovation and shifts in the (intellectual) property paradigm, drawing inspiration from the works of canonical thinkers such as Locke, Marx, Kant and Hegel.

Ius utendi et fruendi for primary resource data

The article maintains that there should be exceptions to (de facto, economic or legal) ownership claims on data that provide user rights and freedom to operate in the setting of AI model training. It concludes that this exception is conceivable as a legal concept analogous to a quasi, imperfect usufruct in the form of a right to process data for machine learning purposes. A combination of usus and fructus (ius utendi et fruendi), not for land but for primary resource data. A right to process data that works within the context of AI and the Internet of Things (IoT), and that fits in the EU acquis communautaire. Such a right makes access, sharing and re-use of data possible, and helps to fulfil the European Strategy for Data’s desiderata.

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Cursus AI, Data, Privacy en Innovatie in de Zorg

Suzan Slijpen, Sander Ruiter en Mauritz Kop over AI in de Zorg

Op 31 oktober 2019 gaven Suzan Slijpen, Sander Ruiter en Mauritz Kop een cursus AI, Data, Privacy en Innovatie in de Zorg in het Maasstad Ziekenhuis Rotterdam. Wij waren daar te gast op uitnodiging van Quint Wellington Redwood, een leading consultancy firm die organisaties ondersteunt bij het ontwerpen en operationaliseren van hun digitale strategie waarbij mensen, processen en technologie centraal staan.

Gebruik van patiëntgegevens, medische hulpmiddelen, datadelen, privacy & AI in het ziekenhuis

Doel van cursus was om helderheid te scheppen in de wettelijke regels over het gebruik van patiëntgegevens, datadelen, eigendom van trainingsdatasets, medical devices, privacy en artificiële intelligentie in het ziekenhuis. AIRecht werd ingeschakeld om expertise te geven over dit complexe en uitdagende onderwerp. Om barrières weg te nemen voor innovatie. Onder de aanwezigen waren het Maasstad Ziekenhuis Rotterdam management team, de CISO (Chief Information Security Officer), enkele artsen, radiologen en verpleegkundigen. Ook waren er data scientists uitgenodigd van Parnassia Groep, specialisten in geestelijke gezondheid.

Keynote Digitale Zorg - Medical Devices, Patiëntdata, MDR & AVG

Nieuwe Europese regelgeving (MDR) voor Medical Devices waaronder zorgrobots, medische producten, hulpmiddelen en medische software vanuit een AI-helicopterview, die in 2020 in Nederland van kracht wordt. Verhouding tussen de AVG en de MDR. Gebruik en uitwisseling van patiëntdata, informatiebeveiliging en digitale zorg: wat mag er wel en niet op basis van de Europese Privacywetgeving (AVG/GDPR)?

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Suzan Slijpen Conference Speaker at the National University of Ireland

Legal Aspects of AI in Healthcare

On 16 August 2019, Suzan Slijpen LL.M. had the honour to speak about the legal aspects of the development and use of artificial intelligence (a disruptive technology) in healthcare, at the AI in Medicine Conference organized by the Irish Association of Physicists in Medicine (IAPM). The conference took place in Galway, at the National University of Ireland (School of Physics, NUI Galway/ OÉ Gaillimh). Suzan is a senior legal consultant at AIRecht.nl, and specializes in eHealth & medical devices, pharmaceutical law, European food law and contract law, from an AI helicopterview. She is also founder and lawyer at boutique law office Slijpen Legal.

Key topics of the Artificial Intelligence in Medicine lecture

Key legal topics that Suzan addressed in her Artificial Intelligence in Medicine lecture:

1. AI & Robotics: Disruptive Technologies: Synergetic effects of 4th Industrial Revolution technologies like robotics, big data, quantum computing, Blockchain, Virtual Reality (VR) and Internet of Things (IoT).

2. eHealth and medical devices: legal classification.

3. Fundamental Rights: Safeguarding of Fundamental Rights in AI applications, Rights of Patients.

4. Ethics and responsible AI: 1791 French Revolution Values, HLEG Concept of Trustworthy AI.

5. Intellectual Property on AI and Health Apps: Licensing your IP.

6. Liability for damages caused by smart robots: who is liable for misdiagnosis by an AI algorithm?

7. Legislation and Jurisprudence.

8. AI Impact Assessment: remove roadblocks for AI.

Legislation and regulations regarding AI in Healthcare

Do you want to know more about legislation and regulations regarding AI in Healthcare, or Legal aspects of disruptive tech in Medicine? Or do you want to organize a workshop or conference yourself and invite us as a speaker or teacher? Then please contact us about the possibilities!

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